dghhg AMD Ryzen Threadripper 3990X 64-Core testing with a Gigabyte TRX40 AORUS PRO WIFI (F6 BIOS) and AMD Radeon RX 5700 8GB on Ubuntu 23.10 via the Phoronix Test Suite. a: Processor: AMD Ryzen Threadripper 3990X 64-Core @ 2.90GHz (64 Cores / 128 Threads), Motherboard: Gigabyte TRX40 AORUS PRO WIFI (F6 BIOS), Chipset: AMD Starship/Matisse, Memory: 128GB, Disk: Samsung SSD 970 EVO Plus 500GB, Graphics: AMD Radeon RX 5700 8GB (1750/875MHz), Audio: AMD Navi 10 HDMI Audio, Monitor: DELL P2415Q, Network: Intel I211 + Intel Wi-Fi 6 AX200 OS: Ubuntu 23.10, Kernel: 6.5.0-14-generic (x86_64), Desktop: GNOME Shell 45.0, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 23.2.1-1ubuntu3 (LLVM 15.0.7 DRM 3.54), Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 3840x2160 b: Processor: AMD Ryzen Threadripper 3990X 64-Core @ 2.90GHz (64 Cores / 128 Threads), Motherboard: Gigabyte TRX40 AORUS PRO WIFI (F6 BIOS), Chipset: AMD Starship/Matisse, Memory: 128GB, Disk: Samsung SSD 970 EVO Plus 500GB, Graphics: AMD Radeon RX 5700 8GB (1750/875MHz), Audio: AMD Navi 10 HDMI Audio, Monitor: DELL P2415Q, Network: Intel I211 + Intel Wi-Fi 6 AX200 OS: Ubuntu 23.10, Kernel: 6.5.0-14-generic (x86_64), Desktop: GNOME Shell 45.0, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 23.2.1-1ubuntu3 (LLVM 15.0.7 DRM 3.54), Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 3840x2160 c: Processor: AMD Ryzen Threadripper 3990X 64-Core @ 2.90GHz (64 Cores / 128 Threads), Motherboard: Gigabyte TRX40 AORUS PRO WIFI (F6 BIOS), Chipset: AMD Starship/Matisse, Memory: 128GB, Disk: Samsung SSD 970 EVO Plus 500GB, Graphics: AMD Radeon RX 5700 8GB (1750/875MHz), Audio: AMD Navi 10 HDMI Audio, Monitor: DELL P2415Q, Network: Intel I211 + Intel Wi-Fi 6 AX200 OS: Ubuntu 23.10, Kernel: 6.5.0-14-generic (x86_64), Desktop: GNOME Shell 45.0, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 23.2.1-1ubuntu3 (LLVM 15.0.7 DRM 3.54), Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 3840x2160 d: Processor: AMD Ryzen Threadripper 3990X 64-Core @ 2.90GHz (64 Cores / 128 Threads), Motherboard: Gigabyte TRX40 AORUS PRO WIFI (F6 BIOS), Chipset: AMD Starship/Matisse, Memory: 128GB, Disk: Samsung SSD 970 EVO Plus 500GB, Graphics: AMD Radeon RX 5700 8GB (1750/875MHz), Audio: AMD Navi 10 HDMI Audio, Monitor: DELL P2415Q, Network: Intel I211 + Intel Wi-Fi 6 AX200 OS: Ubuntu 23.10, Kernel: 6.5.0-14-generic (x86_64), Desktop: GNOME Shell 45.0, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 23.2.1-1ubuntu3 (LLVM 15.0.7 DRM 3.54), Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 3840x2160 Quicksilver 20230818 Input: CTS2 Figure Of Merit > Higher Is Better a . 20740000 |================================================================= b . 20800000 |================================================================= c . 20680000 |================================================================= d . 20770000 |================================================================= Quicksilver 20230818 Input: CORAL2 P1 Figure Of Merit > Higher Is Better a . 25650000 |================================================================= b . 25800000 |================================================================= c . 25540000 |================================================================ d . 25740000 |================================================================= Quicksilver 20230818 Input: CORAL2 P2 Figure Of Merit > Higher Is Better a . 24610000 |================================================================= b . 24600000 |================================================================= c . 24540000 |================================================================= d . 24550000 |================================================================= PyTorch 2.1 Device: CPU - Batch Size: 1 - Model: ResNet-50 batches/sec > Higher Is Better a . 21.51 |==================================================================== b . 20.54 |================================================================= c . 21.42 |==================================================================== d . 20.79 |================================================================== PyTorch 2.1 Device: CPU - Batch Size: 1 - Model: ResNet-152 batches/sec > Higher Is Better a . 8.58 |===================================================================== b . 8.36 |=================================================================== c . 8.48 |==================================================================== d . 8.38 |=================================================================== PyTorch 2.1 Device: CPU - Batch Size: 16 - Model: ResNet-50 batches/sec > Higher Is Better a . 17.39 |=================================================================== b . 17.73 |==================================================================== c . 17.03 |================================================================= d . 17.48 |=================================================================== PyTorch 2.1 Device: CPU - Batch Size: 32 - Model: ResNet-50 batches/sec > Higher Is Better a . 17.37 |================================================================== b . 17.85 |==================================================================== c . 17.24 |================================================================= d . 17.90 |==================================================================== PyTorch 2.1 Device: CPU - Batch Size: 64 - Model: ResNet-50 batches/sec > Higher Is Better a . 17.69 |==================================================================== b . 17.26 |================================================================== c . 17.44 |=================================================================== d . 16.94 |================================================================= PyTorch 2.1 Device: CPU - Batch Size: 16 - Model: ResNet-152 batches/sec > Higher Is Better a . 6.96 |==================================================================== b . 7.04 |===================================================================== c . 7.04 |===================================================================== d . 6.87 |=================================================================== PyTorch 2.1 Device: CPU - Batch Size: 256 - Model: ResNet-50 batches/sec > Higher Is Better a . 17.64 |==================================================================== b . 17.27 |=================================================================== c . 16.53 |================================================================ d . 17.38 |=================================================================== PyTorch 2.1 Device: CPU - Batch Size: 32 - Model: ResNet-152 batches/sec > Higher Is Better a . 7.03 |==================================================================== b . 6.92 |=================================================================== c . 7.11 |===================================================================== d . 7.01 |==================================================================== PyTorch 2.1 Device: CPU - Batch Size: 512 - Model: ResNet-50 batches/sec > Higher Is Better a . 17.72 |==================================================================== b . 16.47 |=============================================================== c . 16.90 |================================================================= d . 17.07 |================================================================== PyTorch 2.1 Device: CPU - Batch Size: 64 - Model: ResNet-152 batches/sec > Higher Is Better a . 7.09 |===================================================================== b . 6.84 |=================================================================== c . 6.91 |=================================================================== d . 6.99 |==================================================================== PyTorch 2.1 Device: CPU - Batch Size: 256 - Model: ResNet-152 batches/sec > Higher Is Better a . 6.88 |==================================================================== b . 6.82 |=================================================================== c . 6.96 |===================================================================== d . 6.99 |===================================================================== PyTorch 2.1 Device: CPU - Batch Size: 512 - Model: ResNet-152 batches/sec > Higher Is Better a . 6.98 |==================================================================== b . 6.88 |=================================================================== c . 7.06 |===================================================================== d . 6.82 |=================================================================== PyTorch 2.1 Device: CPU - Batch Size: 1 - Model: Efficientnet_v2_l batches/sec > Higher Is Better a . 4.34 |===================================================================== b . 4.31 |==================================================================== c . 4.36 |===================================================================== d . 4.34 |===================================================================== PyTorch 2.1 Device: CPU - Batch Size: 16 - Model: Efficientnet_v2_l batches/sec > Higher Is Better a . 2.90 |================================================================== b . 3.03 |===================================================================== c . 2.93 |=================================================================== d . 2.95 |=================================================================== PyTorch 2.1 Device: CPU - Batch Size: 32 - Model: Efficientnet_v2_l batches/sec > Higher Is Better a . 2.95 |==================================================================== b . 2.89 |=================================================================== c . 2.89 |=================================================================== d . 2.99 |===================================================================== PyTorch 2.1 Device: CPU - Batch Size: 64 - Model: Efficientnet_v2_l batches/sec > Higher Is Better a . 2.94 |===================================================================== b . 2.93 |==================================================================== c . 2.96 |===================================================================== d . 2.91 |==================================================================== PyTorch 2.1 Device: CPU - Batch Size: 256 - Model: Efficientnet_v2_l batches/sec > Higher Is Better a . 2.92 |===================================================================== b . 2.92 |===================================================================== c . 2.87 |==================================================================== d . 2.88 |==================================================================== PyTorch 2.1 Device: CPU - Batch Size: 512 - Model: Efficientnet_v2_l batches/sec > Higher Is Better a . 2.91 |=================================================================== b . 3.00 |===================================================================== c . 2.90 |=================================================================== d . 2.91 |=================================================================== TensorFlow 2.12 Device: CPU - Batch Size: 1 - Model: VGG-16 images/sec > Higher Is Better a . 1.84 |===================================================================== b . 1.83 |===================================================================== c . 1.83 |===================================================================== d . 1.84 |===================================================================== TensorFlow 2.12 Device: CPU - Batch Size: 1 - Model: AlexNet images/sec > Higher Is Better a . 4.91 |===================================================================== b . 4.89 |==================================================================== c . 4.93 |===================================================================== d . 4.89 |==================================================================== TensorFlow 2.12 Device: CPU - Batch Size: 16 - Model: VGG-16 images/sec > Higher Is Better a . 3.64 |===================================================================== b . 3.64 |===================================================================== c . 3.64 |===================================================================== d . 3.64 |===================================================================== TensorFlow 2.12 Device: CPU - Batch Size: 16 - Model: AlexNet images/sec > Higher Is Better a . 53.79 |=================================================================== b . 54.83 |==================================================================== c . 53.82 |=================================================================== d . 54.29 |=================================================================== TensorFlow 2.12 Device: CPU - Batch Size: 1 - Model: GoogLeNet images/sec > Higher Is Better a . 8.69 |===================================================================== b . 8.70 |===================================================================== c . 8.72 |===================================================================== d . 8.69 |===================================================================== TensorFlow 2.12 Device: CPU - Batch Size: 1 - Model: ResNet-50 images/sec > Higher Is Better a . 5.02 |===================================================================== b . 5.03 |===================================================================== c . 5.02 |===================================================================== d . 4.99 |==================================================================== TensorFlow 2.12 Device: CPU - Batch Size: 16 - Model: GoogLeNet images/sec > Higher Is Better a . 30.30 |=================================================================== b . 30.53 |==================================================================== c . 30.28 |=================================================================== d . 30.67 |==================================================================== TensorFlow 2.12 Device: CPU - Batch Size: 16 - Model: ResNet-50 images/sec > Higher Is Better a . 9.71 |===================================================================== b . 9.54 |==================================================================== c . 9.73 |===================================================================== d . 9.66 |===================================================================== Speedb 2.7 Test: Random Read Op/s > Higher Is Better a . 183616073 |================================================================ b . 184129582 |================================================================ c . 183899682 |================================================================ d . 183061936 |================================================================ Speedb 2.7 Test: Update Random Op/s > Higher Is Better a . 259962 |=================================================================== b . 258494 |=================================================================== c . 258420 |=================================================================== d . 258168 |=================================================================== Speedb 2.7 Test: Read While Writing Op/s > Higher Is Better a . 12812292 |=============================================================== b . 13256747 |================================================================= c . 13042085 |================================================================ d . 12917858 |=============================================================== Speedb 2.7 Test: Read Random Write Random Op/s > Higher Is Better a . 2193933 |================================================================== b . 2182749 |================================================================= c . 2194844 |================================================================== d . 2202068 |================================================================== Y-Cruncher 0.8.3 Pi Digits To Calculate: 1B Seconds < Lower Is Better a . 19.01 |==================================================================== b . 19.11 |==================================================================== c . 19.13 |==================================================================== d . 19.08 |==================================================================== Y-Cruncher 0.8.3 Pi Digits To Calculate: 5B Seconds < Lower Is Better a . 111.06 |=================================================================== b . 110.66 |=================================================================== c . 110.86 |=================================================================== d . 110.62 |=================================================================== Y-Cruncher 0.8.3 Pi Digits To Calculate: 10B Seconds < Lower Is Better a . 238.56 |=================================================================== b . 238.23 |=================================================================== c . 238.47 |=================================================================== d . 238.57 |=================================================================== Y-Cruncher 0.8.3 Pi Digits To Calculate: 500M Seconds < Lower Is Better a . 9.529 |==================================================================== b . 9.549 |==================================================================== c . 9.532 |==================================================================== d . 9.542 |====================================================================